Membership Inference Attacks Are Easier on Difficult Problems A Shafran, S Peleg, Y Hoshen Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 21 | 2021 |
Crypto-Oriented Neural Architecture Design A Shafran, G Segev, S Peleg, Y Hoshen International Conference on Acoustics, Speech and Signal Processing (ICASSP …, 2019 | 8 | 2019 |
Machine Against the RAG: Jamming Retrieval-Augmented Generation with Blocker Documents A Shafran, R Schuster, V Shmatikov arXiv e-prints, arXiv: 2406.05870, 2024 | 1 | 2024 |
Beyond Labeling Oracles: What does it mean to steal ML models? A Shafran, I Shumailov, MA Erdogdu, N Papernot arXiv preprint arXiv:2310.01959, 2023 | 1 | 2023 |
Is ML-Based Cryptanalysis Inherently Limited? Simulating Cryptographic Adversaries via Gradient-Based Methods A Shafran, E Malach, T Ristenpart, G Segev, S Tessaro Cryptology ePrint Archive, 2024 | | 2024 |